code: def register_model(mar_file_path, model_store, torchserve):
      """
      Register the model in torchserve
      """
  
      file_name = Path(mar_file_path).name
  
      model_name = Path(file_name).stem
  
      shutil.copytree(mar_file_path, Path(model_store) / model_name)
  
      os.symlink(
          LLAMA_MODEL_PATH, Path(model_store) / model_name / llama_path
      )
  
      params = (
          ("model_name", model_name),
          ("url", Path(model_store) / model_name),
          ("initial_workers", "1"),
          ("synchronous", "true"),
          ("batch_size", "2"),
      )
  
      test_utils.reg_resp = test_utils.register_model_with_params(
          params
      )
  
      yield model_name, torchserve
  
      test_utils.unregister_model(model_name)
  
imports: import json
  import os
  import shutil
  import sys
  from collections import OrderedDict
  from multiprocessing import Process, Queue
  from pathlib import Path
  from unittest.mock import patch
  import pytest
  import requests
  import test_utils
  import torch
  import yaml
  from model_archiver.model_archiver_config import ModelArchiverConfig
  from ts.torch_handler.unit_tests.test_utils.mock_context import MockContext
label_desc: Use image node_id 13 for calling a global function with example usage: register_model(mar_file_path, model_store, torchserve) without return types